# Copyright 2021 Tianmian Tech. All Rights Reserved.
# 
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
# 
#     http://www.apache.org/licenses/LICENSE-2.0
# 
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

# Copyright 2019 The FATE Authors. All Rights Reserved.
# 
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
# 
#     http://www.apache.org/licenses/LICENSE-2.0
# 
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

#

import unittest

import numpy as np
from kernel.base.params.init_model_param import InitParam

from kernel.optimizer.initialize import Initializer
from kernel.utils import consts


class TestInitialize(unittest.TestCase):
    def test_initializer(self):
        initializer = Initializer()
        data_shape = 10
        init_param_obj = InitParam(init_method=consts.RANDOM_NORMAL,
                                   init_const=20,
                                   fit_intercept=False
                                   )
        model = initializer.init_model(model_shape=data_shape, init_params=init_param_obj)
        model_shape = np.array(model).shape
        self.assertTrue(model_shape == (10,))


if __name__ == '__main__':
    unittest.main()
